Holographic data visualization

Product Platform

Five modules. One patient story.

From longitudinal patient records to AI-powered insights and GenAI copilots — the complete clinical intelligence platform.

M1

Unified Longitudinal Record

The core record unifying all clinical, administrative, and financial data for every patient across the care continuum.

Demographics & identifiers
All-payer claims history
Active/resolved problem list
Encounter history (IP/OP/ED)
Lab results & trends
Care plan & goals
Active medications
Clinical documents (OCR)
Risk scores (AI-generated)
Allergies & immunizations
Social determinants (SDoH)
Wearable/RPM data
M2

Real-Time HL7 Event Processing

Live ingestion of Epic HL7 v2.x and FHIR R4 feeds for instant patient tracking and clinical event alerts.

ADT^A01 — Admit
ADT^A03 — Discharge
ORU^R01 — Lab results
MDM^T02 — Documents
SIU^S12 — Schedule
Patient admission to ICU
High-risk patient admit
Abnormal lab result
Sepsis alert trigger
ED visit for managed patient
Discharge without follow-up
Missed appointment
M3

Population Health Management

Pre-built disease registries, risk stratification engines, and HEDIS measure tracking for population-level programs.

9 Disease Registries
5-tier risk stratification
HCC / RAF scoring
130+ HEDIS measures
CMS Star ratings
Care gap identification
Rising-risk cohorts
SDoH-adjusted scoring
Intervention tracking
M4

AI Predictive Models

Seven production-grade ML models delivering patient-level risk scores, updated in near-real time.

30-Day Readmission (AUC 0.84)
Sepsis Early Warning (AUC 0.89)
Length of Stay (R² 0.71)
Chronic Disease Progression
High-Cost Patient Prediction
No-Show Prediction (AUC 0.81)
Utilization Prediction
M5

GenAI Clinical Copilot

LLM-powered copilots that reason over the patient record to surface insights and generate recommendations.

Patient summary generation
Risk score explanation
Missing follow-up detection
Care recommendations
Population analytics
Clinical cohort search
Discharge follow-up finder
Registry performance

Product Experience

Patient 360 Dashboard

Patient360 AI — Margaret Chen, DOB 1952-03-14
Readmission Risk
82/100
High Risk
Last Encounter
3 days ago
IP Discharge
Open Care Gaps
4
Needs Action
Active Conditions
7
CHF, DM2, HTN…
Timeline (12 months)
IP Admit — CHF · May 26
ED Visit — Dyspnea · Apr 12
Cardiology Follow-Up · Mar 8
IP Admit — CHF · Jan 4
AI-Generated Summary

Margaret Chen is a 73-year-old female with advanced CHF (EF 30%), Type 2 Diabetes, CKD Stage 3, and Atrial Fibrillation. She was discharged 3 days ago after her second CHF exacerbation in 5 months. No cardiology follow-up scheduled. AI readmission risk score is 82/100.

Recommended Actions
📞 Schedule cardiology follow-up within 7 days
📋 Order missing A1c lab — open since March

Competitive Landscape

How we compare

CapabilityPatient360Health CatalystArcadiaInnovaccerRedoxSF Health Cloud
Real-time HL7PartialPartialPartial
AI/ML modelsPartialPartialPartial
GenAI CopilotPartialPartialPartial
FHIR R4 compliancePartialPartialPartial
Cloud-nativePartialPartialPartial